... management Supply chain resilience Risk management Classification Artificial intelligence Large language model Design of experiments Efficient and effective Supply Chain Management (SCM) means the assurance of optimal flow of products and materials throughout a business’s value chain while...

... chains extending over the globe and becoming more complex in nature over the past decades, digitalisation has emerged as a key differentiator for creating competitive advantage (Ashok, 2023). Artificial intelligence (AI) is widely reported to be a popular facilitator to realise digitalisation strategies...

... and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play...

... performance? K. Mathiyazhagan can be contacted at: madii1984@yahoo.com 11 03 2023 25 07 2023 01 11 2023 04 02 2024 18 02 2024 03 03 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence...

... areas needed to develop and ensure the warehouse’s effectiveness: design, operation, planning, controlling, performance measures, automation and warehouse sustainability. Supply chain digital twin Internet of Things Digital warehouse Artificial intelligence Cloud computing Virtual model...

... is proposed based on the current gaps in the literature and we provide directions for future research. Although scholars argue that artificial intelligence (AI) represents a tool to potentially smoothen the bullwhip effect in the supply chain, only little research has examined this phenomenon...

... Bigdata Drone Driverless vehicle Artificial intelligence 3D printing Logistics management Disruptive innovation has influenced the logistics industry, with most firms attempting to adapt to a rapidly changing environment. Many organisations are transforming their logistics networks to remain...

... artificial intelligence (AI) and machine learning (ML) approach. Design/methodology/approach The present study used organic real-world therapeutic supplies data of over 3 million shipments collected during the COVID-19 pandemic through a large real-world e-pharmacy. The researchers built various ML...

...Kirti Nayal; Rakesh Raut; Pragati Priyadarshinee; Balkrishna Eknath Narkhede; Yigit Kazancoglu; Vaibhav Narwane Purpose In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting...